Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
On Masked Pre-training and the Marginal Likelihood
NeurIPS 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
UAI 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
AISTATS 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
ICML 2023
On Penalty-based Bilevel Gradient Descent Method
ICML 2023
On permutation symmetries in Bayesian neural network posteriors: a variational perspective
NeurIPS 2023
On Preemption and Learning in Stochastic Scheduling
ICML 2023
On Private and Robust Bandits
NeurIPS 2023
On Proper Learnability between Average- and Worst-case Robustness
NeurIPS 2023
On quantum backpropagation, information reuse, and cheating measurement collapse
NeurIPS 2023
On Regularization and Inference with Label Constraints
ICML 2023
On Representing Linear Programs by Graph Neural Networks
ICLR 2023
On Robustness of Finetuned Transformer-based NLP Models
EMNLP 2023
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
NeurIPS 2023
On Sample-Efficient Code Generation
EMNLP 2023
On Sampling with Approximate Transport Maps
ICML 2023
On “Scientific Debt” in NLP: A Case for More Rigour in Language Model Pre-Training Research
ACL 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
ICML 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
MIDL 2023
On Single-Index Models beyond Gaussian Data
NeurIPS 2023
On skip connections and normalisation layers in deep optimisation
NeurIPS 2023
On Slicing Optimality for Mutual Information
NeurIPS 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
AAAI 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
ICML 2023
On student-teacher deviations in distillation: does it pay to disobey?
NeurIPS 2023